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Machine learning methods in sport injury prediction and prevention: a systematic review.

Hans Van EetveldeLuciana De Michelis MendonçaChristophe LeyRomain SeilThomas Tischer
Published in: Journal of experimental orthopaedics (2021)
Current ML methods can be used to identify athletes at high injury risk and be helpful to detect the most important injury risk factors. Methodological quality of the analyses was sufficient in general, but could be further improved. More effort should be put in the interpretation of the ML models.
Keyphrases
  • machine learning
  • risk factors
  • artificial intelligence
  • deep learning